Overview
The backlink quality analysis assistant is used to answer "are these backlinks valuable?", SEO, content growth, and search optimization, and is suitable for marketing, operations, content creators, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as pages, keywords or content materials, pasted page content, keywords, site structure, search goals, competitor summaries, or optimization questions, organizes key context, and outputs content diagnosis, structured optimization suggestions, and actionable publishing checklists for continued execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending/hot signals show that backlink-analyzer has user demand; the platform displays it as a content_marketing business assistant directory, outputting reviewable diagnosis, suggestions, or production preparation packages.
When to Use
Applicable Scenarios
- Users ask questions such as "are these backlinks valuable?" and need to quickly break down goals, identify priorities, and form actionable results
- Marketing, operations, content creators, and software need to generate content diagnosis, structured optimization suggestions, and actionable publishing checklists around the backlink quality analysis assistant
- Users have already prepared optimization goals (explain the keywords to improve, search intent, visibility, citation opportunities, or conversion goals.), target audience (explain search users, target market, industry, purchase stage, or content audience.), page or site links (fill in publicly accessible pages, sites, SERPs, competitors, or reference links.), and want to organize them into actionable analysis or optimization results
- Users need to turn materials related to the backlink quality analysis assistant into clear conclusions, priorities, and next-step actions
How to Invoke
Directly call the AI Skills API through the exported Python runner:
Command Examples
Basic Invocation
python3 scripts/run.py --params '{}'
Invocation with Common Parameters
python3 scripts/run.py --params '{"goal":"优化目标"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
goal |
string | No | - | Explain the keywords to improve, search intent, visibility, citation opportunities, or conversion goals |
audience |
string | No | - | Explain search users, target market, industry, purchase stage, or content audience |
materialUrl |
string | No | - | Fill in publicly accessible pages, sites, SERPs, competitors, or reference links; a complete accessible URL is required |
materialFile |
string | No | - | Upload content drafts, keyword lists, site structure, audit reports, or SEO planning materials |
materialText |
string | No | - | Paste page content, keywords, site structure, search goals, competitor summaries, or optimization questions |
brandRequirements |
string | No | - | Supplement target region, language, brand restrictions, unchangeable facts, compliance requirements, or manual review priorities |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter Value Reference
The current skill has no categorical parameters that require additional table lookup.
Supported Input Formats
The current skill directly accepts JSON parameters; if the parameters contain a link field, please pass a complete, accessible URL.
Example request
The following example parameters can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.
python3 scripts/run.py --params '{"goal":"优化目标"}'
Equivalent --params JSON:
{
"goal": "优化目标"
}
Example return result
{
"success": true,
"data": {
"message": "示例结果请以技能真实返回结构为准。"
},
"meta": {
"executionTime": 842,
"cached": false
}
}
Deliverables
- Content diagnosis, structured optimization suggestions, executable publishing checklist: organize core results around user goals that can be read, reviewed, or delivered directly.
- Interpretation of input materials: combine the optimization goal (explain the keywords, search intent, visibility, citation opportunities, or conversion goals to improve.), target audience (explain the search users, target market, industry, purchase stage, or content audience.), and page or site links (provide publicly accessible pages, sites, SERPs, competitor, or reference links.) to extract key context and the basis for judgment.
- Next actions: provide priorities, execution suggestions, or a content framework that can be further processed.
Suggestions for using the results
- First determine whether the output answers the user's core question about the "Backlink Quality Analysis Assistant".
- Then check whether the results cover content diagnosis, structured optimization suggestions, and an executable publishing checklist, and whether they provide clear next actions.
- If there is little input material, it is recommended to ask the user to supplement the goals, audience, constraints, or source materials before running.
Preparation before running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault